Overview
Provide technical analytical support to the Urban Poverty study in the United Republic of Tanzania, producing a working paper and a policy brief.
Key Responsibilities
- Provide technical analytical support to the Urban Poverty study.
- Produce a working paper for publication.
- Produce a policy brief for advocacy.
- Contribute directly to the processing of geospatial data.
- Contribute directly to predictive modelling.
- Contribute directly to analysis.
- Contribute directly to drafting the working paper.
- Contribute directly to drafting the policy brief.
Required Experience
- At least 3 years of relevant experience in quantitative research and advanced data analysis.
- Demonstrated experience working with geospatial data and spatial analysis.
- Practical, demonstrable experience building and tuning supervised machine learning models (e.g., Random Forest, XGBoost) and deep learning architectures (e.g., CNNs) for socio-economic or spatial analysis.
- Demonstrated experience with Google Earth Engine (GEE), standard GIS platforms (e.g. QGIS, ArcGIS), including the processing of multi-spectral remote sensing data (e.g. Sentinel-2, VIIRS) and vector data (e.g. OpenStreetMap).
- Strong data visualization skills (e.g. generating continuous spatial heat maps).
- A proven track record of analytical academic writing.
Qualifications
• Master’s (or Higher) in Data Science, Spatial Econometrics, Geography, Computer Science, Economics, Statistics, Public Policy, or a related highly quantitative field
